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Published in 2017 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1002/2017ms000942
Abstract: Global climate models (GCMs) are examples of high-dimensional input-output systems, where model output is a function of many variables, and an update in model physics commonly improves performance in one objective function (i.e., measure of…
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Keywords:
climate model;
multiobjective constraints;
model parameter;
model ... See more keywords
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Published in 2020 at "Computational Mechanics"
DOI: 10.1007/s00466-020-01868-4
Abstract: Predictive analysis of poroelastic materials typically require expensive and time-consuming multiscale and multiphysics approaches, which demand either several simplifications or costly experimental tests for model parameter identification.This problem motivates us to develop a more efficient…
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Keywords:
parameter identification;
poroelastic model;
model parameter;
model ... See more keywords
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Published in 2020 at "Journal of the mechanical behavior of biomedical materials"
DOI: 10.1016/j.jmbbm.2020.103999
Abstract: The aim of this work is to characterize the mechanical parameters governing the in-plane behavior of human skin and, in particular, of a keloid-scar. We consider 2D hyperelastic bi-material model of a keloid and the…
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Keywords:
model parameter;
experimental measurements;
model;
design experiments ... See more keywords
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Published in 2019 at "Earth and Space Science"
DOI: 10.1029/2019ea000605
Abstract: Joint inversions of coincident geophysical data are usually constrained to produce more reliable subsurface models. Structural, petrophysical, model parameter correlation, empirical, and transforms are some of the published constraints. The Gramian constraint provides a broad…
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Keywords:
model;
model parameter;
joint inversion;
gramian constraint ... See more keywords
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Published in 2025 at "IET Power Electronics"
DOI: 10.1049/pel2.70064
Abstract: Look‐up‐table (LUT) based model parameter‐free predictive control (MFPC) suffers from long update time and large storage requirement, particularly when applied to multi‐level inverters. To address these challenges, this paper proposes an improved MFPC with fast…
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Keywords:
parameter free;
predictive control;
model parameter;
free predictive ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1476714
Abstract: Abstract This paper considers the problem of simultaneously predicting/estimating unknown parameter spaces in a linear random-effects model with both parameter restrictions and missing observations. We shall establish explicit formulas for calculating the best linear unbiased…
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Keywords:
model parameter;
parameter restrictions;
random effects;
effects model ... See more keywords
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Published in 2017 at "Econometric Reviews"
DOI: 10.1080/07474938.2016.1140277
Abstract: ABSTRACT We present a time-domain goodness-of-fit (gof) diagnostic test that is based on signal-extraction variances for nonstationary time series. This diagnostic test extends the time-domain gof statistic of Maravall (2003) by taking into account the…
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Keywords:
goodness fit;
diagnostic test;
model parameter;
time ... See more keywords
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Published in 2024 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3376306
Abstract: This article studies an adaptive Kalman filter method based on model parameter ratio. The model parameter ratio theory is proposed for the first time, and the adaptive estimation problem is transformed into a constrained optimization…
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Keywords:
based model;
model parameter;
adaptive kalman;
model ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2024.3491217
Abstract: This paper is concerned with the problem of robustly estimating the speed and acceleration of servo drives without the system model parameter information, depending on only the order of the open-loop system. The proposed filtering…
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Keywords:
pole zero;
model parameter;
parameter information;
speed acceleration ... See more keywords
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Published in 2024 at "Journal of Climate"
DOI: 10.1175/jcli-d-24-0017.1
Abstract: Studying the response of a climate system to perturbations has practical significance. Standard methods in computing the trajectory-wise deviation caused by perturbations may suffer from the chaotic nature that makes the model error dominate the…
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Keywords:
enso;
response;
model parameter;
parameter perturbations ... See more keywords
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Published in 2024 at "Frontiers in Environmental Science"
DOI: 10.3389/fenvs.2023.1341017
Abstract: The research and optimization of hydrological forecasting models are among the most crucial components in the scope of water management and flood protection. Optimizing the calibration of hydrological forecasting models is crucial for forecasting performance.…
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Keywords:
shuffled complex;
model parameter;
model;
complex evolution ... See more keywords